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Must be based in Miami, FL and available to work on-site 3X per week.

We Are Lucky Strike Entertainment.

Bowling, Arcade, Family Entertainment Centers. One company. Twelve brands. A career built around unforgettable experiences. Hospitality at our core; we put people first by creating meaningful connections and delivering memorable experiences to every guest, every time.

The Senior Vice President of Revenue Management & Pricing will lead the development and execution of enterprise pricing and revenue optimization strategies across the organization’s portfolio of entertainment venues. This executive will be responsible for driving sustainable revenue growth and margin expansion through dynamic pricing, advanced analytics, and AI-powered pricing solutions that respond to real-time demand signals.

This role will oversee revenue management, pricing strategy, commercial analytics, and pricing technology to ensure the organization maximizes yield across dayparts, seasonal demand, and customer segments. The SVP will partner closely with Marketing, Finance, Operations, and Technology to build a sophisticated pricing ecosystem that leverages automation, machine learning, and predictive analytics to continuously optimize performance while delivering strong customer value and engagement.

What You’ll Do

Strategic Revenue & Pricing Leadership

• Design and implement a comprehensive revenue management and pricing strategy aligned with company goals for revenue growth, margin optimization, and guest value perception.
• Lead the evolution from static pricing to dynamic, demand-based pricing models that consider factors such as daypart, demand elasticity, seasonality, location performance, and customer segmentation.
• Establish pricing governance frameworks to guide promotional strategy, discount structures, and enterprise pricing policies.
• Develop testing and experimentation frameworks to continuously refine pricing strategies through data-driven insights.

AI-Driven Pricing & Technology Innovation

• Lead the implementation and optimization of AI-powered pricing solutions that leverage machine learning, predictive modeling, and real-time demand signals.
• Evaluate and deploy pricing technology platforms capable of automated price adjustments based on utilization, booking velocity, weather, competitive data, and historical trends.
• Partner with Product and Technology teams to integrate AI pricing capabilities with POS systems, reservation platforms, CRM systems, and loyalty platforms.
• Champion a data-first culture by embedding automation and advanced analytics into everyday pricing and revenue decisions.
• Ensure pricing systems are scalable, automated, and capable of adapting to rapidly changing demand conditions across all locations.

Analytics & Revenue Optimization

• Build and oversee advanced pricing models using statistical forecasting, machine learning, and predictive analytics.
• Monitor pricing performance against key metrics including revenue per location, yield per lane or experience, utilization rates, contribution margin, and customer lifetime value.
• Conduct competitive and market pricing analysis to ensure optimal positioning across markets.
• Partner with FP&A to forecast the financial impact of pricing strategies and track performance against revenue and margin targets.
• Lead commercial analytics initiatives to uncover insights across pricing, promotions, guest behavior, and market demand patterns.

Loyalty & Customer Value Programs

• Collaborate with Marketing and Customer Experience teams to align loyalty strategy with revenue management and pricing initiatives.
• Leverage loyalty and guest data to inform personalized pricing strategies, promotions, and targeted offers.
• Analyze loyalty program performance and customer engagement trends to improve retention, visitation frequency, and lifetime value.
• Integrate loyalty insights into dynamic pricing models to deliver value while maximizing revenue.

Operational Execution

• Partner with regional and location leadership to ensure pricing strategies are practical, executable, and aligned with local market dynamics.
• Ensure pricing strategies can be seamlessly deployed across all locations through centralized systems and automation.
• Establish operational processes for pricing updates, approvals, and exception management.
• Support field teams with clear communication, training, and tools to ensure consistent pricing execution.

Cross-Functional Collaboration

• Work closely with Marketing to align promotional strategies, campaigns, and offers with enterprise pricing strategy.
• Partner with Operations to ensure pricing models align with operational realities and guest experience expectations.
• Collaborate with Technology and Product teams on system requirements for pricing automation, forecasting tools, and advanced analytics.
• Provide executive leadership with insights on pricing trends, market conditions, and revenue optimization opportunities.

Leadership & Team Development

• Build and lead a high-performing team focused on revenue management, pricing strategy, and commercial analytics.
• Develop internal capabilities in advanced analytics, pricing science, and AI-enabled revenue optimization.
• Foster a culture of innovation, experimentation, and data-driven decision making across the organization.

What You’ll Bring

• 10+ years of experience in revenue management, pricing strategy, or commercial analytics roles within multi-location, consumer-facing industries such as hospitality, entertainment, travel, retail, or leisure.
• Proven track record designing and scaling dynamic pricing strategies across large multi-unit environments.
• Experience implementing AI-driven pricing platforms, predictive analytics tools, or automated revenue management systems.
• Strong analytical expertise in pricing optimization, demand forecasting, elasticity modeling, and customer segmentation.
• Demonstrated leadership experience building and managing high-performing teams.
• Ability to influence senior executives and collaborate cross-functionally with operations, finance, marketing, and technology leaders.
• Experience integrating pricing systems with POS platforms, CRM systems, loyalty platforms, and enterprise analytics tools.

Key Metrics of Success

• Revenue growth and margin expansion driven by pricing and revenue management strategies.
• Increased yield per location across peak and off-peak demand periods.
• Improved utilization through demand-based and AI-driven pricing optimization.
• Higher customer retention and engagement through personalized value-based pricing.
• Seamless deployment of pricing updates across all locations with minimal operational disruption.
• Development of a scalable, automated pricing infrastructure powered by advanced analytics and AI.

What You’ll Get

At Lucky Strike Entertainment, we’re committed to supporting your well-being both on and off the job. Here's a peek at some of the benefits available to our Corporate associates:

• Medical, Dental, Vision plans to select from based on your needs
• Wellness resources to help you along your wellness journey
• 401(K) Retirement Plans
• Employee Stock Purchase Program
• Employee Assistance Program (EAP)
• Vacation and Holidays
• Perks! Bowling, Boomer's, and Waterpark discounts, Retail discounts, Event discounts and more!

Location: Remote / Road Warrior

Must reside within the Northeast Triangle: Boston – Philadelphia - New Jersey

Travel: 75%+ (National travel required)

THE OPPORTUNITY

.

We are looking for a Director of Operations to be the tactical right hand to the COO. This is not a desk job and it’s not theoretical. This is a roll-up-your-sleeves, boots-on-the-ground leadership role for someone who loves being in the field, fixing what’s broken, and leaving things better than they found them.

You’ll live on the road, help integrate new acquisitions, standardize how work gets done, and act as the critical bridge between the technicians in the field and the executives driving growth.

If you’re the kind of leader who’d rather solve problems in a shop or jobsite than from a slide deck—this one’s for you.

WHO YOU ARE

The Industry Vet

You know your doors and docks—sectional vs. coiling, levelers vs. lifts—and you understand how commercial door businesses actually make money.

The Road Warrior

You’re energized by travel and thrive in the field. Three to four weeks a month on the road? That’s your rhythm.

The Bridge Builder

You can talk shop with seasoned techs and talk KPIs with executives—earning respect on both sides and keeping everyone aligned.

The Fixer

You don’t just flag problems. You jump in, fix dispatch, inventory, billing, or routing issues, and train the team so it sticks.

WHAT YOU’LL DO

Standardize Operations

Travel to newly acquired branches (often very “mom and pop”) and help professionalize operations—dispatch, service flow, inventory, and more.

Lead From the Field

Coach and mentor Branch Managers and Service Managers on running strong P&Ls and efficient, profitable service operations.

Fix the Order-to-Cash Cycle

If a branch is losing money due to poor billing, bad routing, or process gaps, you’ll find it, fix it, and lock in the improvement.

Integrate Acquisitions

Help blend cultures, systems, and processes—moving teams from paper to platforms like NetSuite or ServiceTitan without losing trust or morale.

Champion Safety

Lead a true “Safety First” culture across all field operations, ensuring OSHA and company standards aren’t just met—but lived.

WHAT YOU BRING

• 7+ years of operations leadership in the Commercial Door, Dock, or Access Control industry
• Deep working knowledge of commercial entry solutions (doors, dock equipment, high-speed doors)
• Willingness to travel 75%+ of the time
• Comfort with ERP/FSM systems (NetSuite, ServiceTitan, or similar) and strong Excel skills
• Based in the Northeast/Midwest corridor (Boston, Chicago, DC, Philly, Cleveland, Detroit)WHY THIS IS A BIG DEAL

Build the Playbook

You won’t be maintaining the status quo—you’ll help create the national operational standard that scales this company from 100 to 500+ employees.

Career-Defining Role

Join at the inflection point. As the platform grows, your influence, scope, and career trajectory grow right along with it.

Compensation

$150,000 + bonus

Job Type: Full-time

Benefits:

401(k) + matching

Health, dental, vision, and life insurance

Flexible schedule

Paid time off

Professional development support

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Work Location: On the road

Responsibilities And Essential Job Functions Include, But Are Not Limited To The Following:

Strategic Leadership

• Own the contract freight portfolio, including account acquisition, pricing strategy, service performance, and profitability.
• Lead the execution of customer-specific transportation solutions aligned with contractual obligations.
• Develop and scale processes for high-volume, repeatable truckload moves.

Customer & Carrier Engagement

• Act as executive sponsor for strategic contract accounts.
• Collaborate with sales, pricing, and operations teams to ensure seamless onboarding and ongoing service delivery.
• Negotiate rate escalations, KPIs, and service level agreements (SLAs).

Operational Excellence

• Partner with carrier procurement to ensure routing guides are optimized and service levels are met.
• Monitor lane performance, cost-to-serve, and margin compression, proactively adjusting strategy as needed.
• Leverage TMS and analytics tools to track performance metrics and drive continuous improvement.

Compliance & Risk Management

• Ensure contracts are executed in accordance with legal, insurance, and regulatory standards.
• Mitigate risk through strong carrier vetting, service guarantees, and exception management.

Team Leadership & Development

• Lead and develop a high-performing team of account managers and contract operations specialists, ensuring strong client engagement, professional development, and goal attainment.
• Develop, coordinate, and enforce department systems, policies, procedures, and productivity standards.
• Plan and evaluate processes, priorities, objectives, and performance goals; ensure the department is on track to meet objectives and goals.
• Maintain workforce by recruiting, onboarding, and evaluating employees.
• Drive a high-performance culture through positive feedback, coaching, training accountability, and skills development.

Qualifications, Knowledge, Skills, And Abilities:

• Bachelor's degree in business, logistics/supply chain, marketing or sales or an equivalent combination of education and work experience; MBA is a plus.
• 8+ years' experience in 3PL brokerage, with at least 3 years in a leadership role managing contract freight.
• Experience with TMS platforms (e.g., McLeod), CRM and data reporting tools.
• Proven success managing contractual customers in a truckload environment.
• Deep understanding of market dynamics, carrier relationships, and routing guide compliance.
• Exceptional leadership and team-building skills, with a focus on mentorship and professional development.
• Proficient in the entire Microsoft Office suite.
• Must be able to read, write, and speak English fluently.
• Willingness and ability to travel as required to meet with current and prospective high-value clients and to attend leadership meetings.
• Proven track record of managing and growing multi-million-dollar enterprise accounts.
• Demonstrated ability to drive revenue growth and operational efficiencies in a fast-paced environment.
• Exceptional communication, networking, relationship-building, and presentation skills.
• Must be a skilled negotiator, highly analytical with a data-driven mindset, creative, and an effective communicator with the ability to influence stakeholders at all levels.
• Strategic thinker with a proactive, results-oriented mindset and a strong sense of urgency while balancing the ability to reassure and motivate teams.
• Ability to work in a fast-paced, metrics-driven environment.
• Visionary leader with the ability to use their knowledge, skills, and influence to guide and inspire others to reach their potential and achieve individual, team, and company goals and objectives.

Position Description:

The Department of Genetics is seeking a board-eligible/certified Clinical Geneticist to join its faculty at the level of Assistant Professor. The successful candidate will become part of an outstanding team of clinical care providers at the Yale School of Medicine.

Candidate Opportunities:

The Department is committed to offering patients the most comprehensive and cutting-edge clinical genetics services available. We are recognized as a Rare Disease Center of Excellence by the National Organization for Rare Disorders (NORD), as well as a Diagnostic Center of Excellence under the NIH Undiagnosed Diseases Network (UDN). There are exciting opportunities to participate in clinical research, including gene therapy and new drug trials for genetic diseases for those who are interested.

The faculty appointee will provide outpatient and inpatient genetic consultations and manage patients as part of a multidisciplinary clinical team, including other faculty, nurses, genetic counselors, and a dietitian. The appointee will have the opportunity to join our work to evaluate and manage the Connecticut (CT) newborn screening program by providing consultation services and participating in the advisory council. In addition to providing clinical care, the appointee will participate in teaching trainees and be part of dynamic case conferences and grand rounds. The appointee will have opportunities for collaborative or independent research, community engagement, education and awareness efforts and patient advocacy through the UDN, NORD, and other specialized programs. Our structured program of mentorship will maximize professional growth and development around personal interests.

Yale University and Yale New Haven Hospital form a major academic medical center for southern New England with outstanding basic and clinical research programs. The appointee will have different opportunities to participate in new and exciting university-wide initiatives in personalized medicine and other clinical research programs within Genetics and in collaboration with other departments, should they wish to do so.

About Us:

The overarching goal of the Department of Genetics is to discover new biology driven by genetics that improves human health through translational science and clinical care. Central to our mission are our core values of academic and clinical excellence, mentorship, inclusion and belonging, community-building, collaboration, accountability and fairness.

The Department of Genetics provides clinical care in Medical Genetics in the Yale New Haven Health System. Clinical genetics services include inpatient and outpatient consultation and care. We cover the full range of genetic disorders with clinics in general genetics, metabolic genetics, neurogenetics, cardiac genetics, and several other subspecialties. We actively work in collaboration with our state partners on evaluation and management of CT newborn screening program. We have comprehensive clinical laboratory services including on-site cytogenetics and DNA diagnostics services, which provide whole exome/genome testing. The Department sponsors a Medical Genetics Residency program leading to certification by the American Board of Medical Genetics. Admission to the Genetics Residency is directly through the Department.

The Department has a distinguished history of discoveries in medical genetics and has been a global pioneer in using exome sequencing for clinical diagnosis. As part of our commitment to patient care, the Department operates its own state-of-the-art DNA Diagnostic and Cytogenetics Laboratory, offering sequencing and diagnostic services in partnership with the Yale Center for Genome Analysis, one of the largest genome sequencing centers in the world. We are also a site for several clinical trials. Learn more at: :

Applicant must hold an M.D., or MD/PhD, or equivalent degree.

Application Instructions:

Applications should include a cover letter, curriculum vitae, three confidential letters of recommendation and a concise statement of clinical and research interests (up to two pages). Complete applications and letters of recommendation should be uploaded through Yale's Interfolio website of applications will begin immediately and continue until the position is filled. Specific inquiries about the position may be sent to the attention of Maren Crawford at

Equal Employment Opportunity Statement

The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives.

Additionally, in accordance with this Policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual’s sex; sexual orientation; gender identity or expression; pregnancy, childbirth or related conditions; race; color; national or ethnic origin; religion; age; disability; protected veteran status, or other protected classes as set forth in federal and Connecticut law.

Professional Conduct Review for New Faculty Hires

The final candidate, upon acceptance of a contingent offer of employment/faculty appointment, may be required to disclose whether they are, or have been, the subject of any disciplinary proceeding (investigation, hearing, etc.) at previous institutions or employers, and may also be subject to a background screening. Candidates who materially misrepresent information on their resume or other application materials are ineligible for hire/appointment. Final candidates may also be required to sign a release to allow Yale to solicit information regarding any substantiated conduct violations from current and/or past employers.

Open date: February 13, 2026

Next review date: Friday, Mar 20, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 20, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date.

The School of Information at the University of California, Berkeley invites applications for up to three new full-time Bellwether Postdoctoral Scholars to start as soon as July 2026. The exact start date is negotiable. These positions are available for two years, and are non-renewable. J-1 visa sponsorship is available for this position.

These postdoctoral positions are for academics in the early stages of their career who demonstrate exceptional potential as a scholar and researcher. Applicants should either have completed a doctoral degree, or be able to convincingly demonstrate that they will complete the degree before they intend to start this postdoctoral position (e.g. by documenting a scheduled viva/final defense).

We are seeking applicants with active research plans in any of the following areas:

BPS 1) We seek applicants pursuing a research agenda at the intersection of computer science and applied economics, with interdisciplinary training and interests in both topics. The successful applicant will work on projects that address pressing policy issues, using a mix of quantitative and computational methods (e.g., econometrics, data science, AI/ML). Examples of active projects include, but are not limited to, developing theory and methods for robust and equitable decision making in social settings; the use of machine learning and digital data to guide resource allocation and related policies in low-income countries; and creating and validating new techniques for monitoring living standards and well-being in high-stakes policy environments. This position will be supervised by Joshua Blumenstock.

BPS 2) We seek applicants with interdisciplinary training and interests pursuing a research agenda at the intersection of information science, computational social science, and public-interest research. The successful applicant will work on projects that examine how sociotechnical information systems shape high-stakes decision-making across digital and institutional contexts to address pressing issues in information access, trustworthiness, and credibility, using a mix of computational, quantitative, and qualitative methods (e.g., natural language processing, digital trace data, surveys, and interviews). Examples of active projects include, but are not limited to, studying online communities as informal information infrastructures; analyzing how search engines and digital platforms structure the visibility and credibility of information; developing methods to monitor and contextualize misinformation and uncertainty in sensitive or politicized domains; and advancing conceptual frameworks for understanding information ecosystems as structural determinants of equity, autonomy, and well-being, including but not limited to health-related contexts. This position will be supervised by Coye Cheshire.

BPS 3) We seek applicants with active research plans in climate and sustainability informatics, leveraging information and/or information tools to empower individuals, communities, and organizations in tackling the challenges of climate change and biodiversity conservation. We welcome applicants with strong backgrounds in one or more of the following areas: remote sensing, ML, NLP, HCI, participatory design, design research, biosensory computing. The successful applicant will become a core member of the IceBerk Lab ( ), and be supervised by John Chuang, with possible co-supervision by another IceBerk faculty member where appropriate.

BPS 4) The Cultural Analytics group seeks postdoc applicants to conduct data-driven research across archival heritage and born-digital media. Current projects include, but are not limited to: (i) the study of narrative, belief and resonance, where the goal is to understand how narrative is mutually constitutive of beliefs, and how narrative resonates in and across communities of belief; (ii) extracting narrative elements from literary works, with a strong focus on complex corpora such as the Icelandic sagas to understand composition and social modeling in late medieval fiction; (iii) further developing the approach of archetyptonics along with the SOCKS project at University of Vermont's Complex Systems Center; and (iv) refining a search engine for popular dance, where the search term is the dancer's sequence of poses, here focusing on Kpop dance. Ideal candidates bridge Computational Humanities/Social Science Computing (ML, Networks, and/or Computer Vision) with a qualitative theoretical background. You will be supervised by Tim Tangherlini (with potential I-School co-supervision), and be associated with the Berkeley Institute for Data Science (BIDS) and the AI Futures Lab. We welcome applicants with active research plans ready to contribute to a vibrant, interdisciplinary environment.

BPS 5) The goal of this postdoctoral position is to contribute to the development of an empirically-backed theoretical understanding of how people understand and make sense of the combination of graphic and textual information. We seek a scholar with expertise in some combination of information visualization, the psychology of reading and/or diagram interpretation, and cognitive science or neuroscience more generally to investigate human conception at the intersection of language and information visualization. Expertise in conducting and analyzing eye gaze is a requirement of the position. Expertise or interest in multimodal information, both cognitively and in large vision and language models is a plus. The mentor for this position is Professor Marti Hearst.

BPS 6) Seeking postdoc applicants with a passion for and commitment to equity-driven co-design with local marginalized Indigenous communities. A successful applicant will work on projects that weave together Indigenous knowledge, experiences, and values that address public-facing outcomes, such as informal science education programs and exhibits at local museums and cultural centers. The applicant will help develop theory and methods for world-building equity that integrate marginalized communities' cultural and social struggles. We are seeking applicants with the following attributes: strong background in co-design with marginalized communities, design research, qualitative methods, and experience building mixed reality systems. Knowledge of Indigenous research methods is a plus. This position will be supervised by Kimiko Ryokai.

The Bellwether Postdoctoral Scholar program is designed to allow exceptionally promising young researchers the time to develop their own research while collaborating with leading established faculty. It is designed to accelerate careers, and to maximize the ability of Bellwether Postdoctoral Scholars to build independent research trajectories. To accomplish this, a portion (30-40%) of each post-doc's time will be reserved for their own independent research and publication efforts, including publishing results from their dissertation.

Additionally, all Bellwether Postdoctoral Scholars will work with a mentor or mentors on research projects in the areas listed above (60-70%), all of which are either already active or will be at the time of the start of the post-doc. All have significant publication opportunities planned.

These postdoctoral positions are research-focused and do not include teaching. However, all post-docs will be given opportunities for guest lecturing and will be expected to give public talks about their research. Post-docs will also contribute to planning and hosting public talks for others, and will be expected to be active participants in I School academic events such as research talks.

Each postdoctoral scholar will have access to up to $5,000 annually for research expenses and travel to professional conferences and research opportunities. A laptop computer will also be provided for the duration of the post-doc.

For all of the above positions, we only seek candidates with excellent research and leadership abilities and a commitment to contributing to the UC Berkeley I School and the field of information more broadly while accelerating their career.

The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. Faculty comprise a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.

The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The MIDS program trains data scientists to manage and analyze the coming onslaught of big data, in a unique high-touch online degree. The MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement; and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.

UC Berkeley has an excellent benefits package as well as a number of policies and programs to support employees as they balance work and family, if applicable.

School:

School: about/community

PhD (or equivalent international degree), or enrolled in a PhD or equivalent international degree-granting program at the time of application.

PhD (or equivalent international degree) required by start date.

No more than three years of postdoctoral research experience.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter - 1-2 pages. Required elements of your cover letter include:

  
  
  

  which position(s) you are applying for (e.g. BPS1 or BPS5);
  
  when you would be available to start your postdoctoral work;
  
  a clear articulation of your fit with the UC Berkeley I School, addressing how your expertise overlaps with, enhances, or expands upon the research area indicated for your position(s) of interest. Please include names of any mentors that you would like to work with beyond the project supervisor.

  
  

• Statement of Research - 2-3 pages. Includes a description of the focus of your planned independent research and publications during the post-doc, what resources would you need to do that work, and an explanation of how the research builds on and goes beyond work you have already done.

  
  

• Writing Sample - Preferably a pre- or post-print of a first-authored publication.

  
  

• 3-5 required (contact information only)

We may contact your references at any stage in the hiring process unless you request otherwise. Please only provide contact information and do not request letters be sent at the time of application. Letters will be solicited for all finalists.

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: June 9, 2025

Most recent review date: Tuesday, Jun 24, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Jan 12, 2027 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Data Science Undergraduate Studies (DSUS) at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach DSUS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring and summer sessions), depending on the needs of the unit.

About DSUS

Data Science Undergraduate Studies (DSUS) offers a range of academic, co-curricular, and enrichment programs-including the Data Science major and minor-with a wide-reaching impact both across UC Berkeley and beyond.

Designed in collaboration with faculty from across Berkeley, Data Science invests students with deep technical knowledge, expertise in how to apply that knowledge in a field of their choosing, and an understanding of the social and human contexts and ethical implications of how data are collected, analyzed, and used. This combination positions graduates to help inform and develop solutions to a range of pressing challenges, from adapting industry to a new world of data to amplifying learning in education to helping communities recover from disaster.

DSUS is part of the College of Computing, Data Science, and Society (CDSS), which strives to develop, implement, and share high-quality, ethics-oriented, and accessible curricula, educating a diverse student body in data science, computing, and statistics. Core to the college is an understanding of how computing and data science affect equality, equity, and opportunity-and the capacity to respond to social challenges.

DSUS is committed to hiring and developing staff who want to work in a high performing culture that reflects the outstanding work of our faculty and students. DSUS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

Responsibilities

DSUS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses in several areas. We are particularly interested in instructors who can combine computational and inferential thinking in a way that reflects the new field of Data Science Education.

Core courses include:

Fundamentals of Data Science

Principle and Techniques of Data Science

Human Contexts and Ethics of Data

Data and Justice

Data, Inference, and Decisions

Honors Thesis Seminar

Connector Courses: Instructors may be hired to teach Connector Courses that connect Foundations of Data Science with other disciplines, such as neuroscience, legal studies, public health, demography, English or others. Connector courses allow students to apply theoretical concepts from data science to a particular area of interest. Course design and syllabus will leverage the sequence of computational and statistical techniques that students learn in the Foundations course.

Teaching a Data Science course may include holding office hours, assign grades, advise students, prepare course materials (e.g., syllabus), provide clear and prompt feedback on student work, and maintain the course website.

Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.

Department: dsus

Division:

Must have an advanced degree or be enrolled in an advanced degree program at the time of application.

Advanced degree. Candidates must already be authorized to work in the United States.

A Ph.D. or equivalent international degree in computer science, statistics, information, applied mathematics, engineering, or the social sciences is preferred.

Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

  
  

• 3-4 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Sr. Architect to Director of Architecture

License Required

Torrance, CA

Hybrid schedule, 3 days in office and 2 remote. Open to full time in office if preferred.

Compensation: 170k to 200k plus discretionary bonus

Overview

We are seeking a hands on licensed Sr. Architect who can move into a Director of Architecture to lead a hands on, fast paced design build architectural team. This is a true working leader role for someone who is a project architect at heart and understands how buildings actually come together in the field.

This position sits at the intersection of architecture and construction and requires someone who can confidently review drawings, collaborate with construction leadership, and mentor a growing internal team. Projects move quickly, with construction documents typically completed within 6 to 12 weeks and construction following shortly after.

The ideal candidate thrives in an ownership driven environment, enjoys collaboration with construction professionals, and is comfortable wearing multiple hats.

Reporting Structure

Reports directly to executive leadership and works closely with internal Project Managers and Project Executives on the construction side.

Key Responsibilities

• Serve as the architectural lead on all design build projects

• Review architectural and construction documents prior to issuance, ensuring accuracy, coordination, and constructability

• Act as the final quality control checkpoint on all drawings before release

• Partner closely with construction PMs and PXs to align design intent with sequencing and field execution

• Ensure compliance with building codes, ADA requirements, and permitting regulations

• Support projects from design development through construction administration

• Mentor and manage a team of 4 to 5 architectural staff

• Provide hands on coaching and leadership to elevate team performance

• Participate in client meetings as needed, primarily virtual

• Support infrastructure related scopes when required

Project Types

• High end retail and national retail rollouts

• Fast paced commercial programs

• Gas stations and convenience retail

• Wellness and IV hydration clinics

• International brand expansions

• Nationwide multi site programs

Architectural project sizes typically range from 10k to 400k.

Ideal Background

• Licensed Architect, license does not need to be from California

• BS in Architecture highly preferred

• Strong experience in a design build environment

• True project architect who understands constructability

• Advanced experience with AutoCAD and Revit required

• Comfortable managing aggressive timelines

• Experience in retail, fast paced commercial, or similar environments preferred

• Prior experience at firms such as Ware Malcomb, Architects Orange, Gensler, or comparable firms is a plus

• Proven ability to manage and mentor a team of 4 to 5 professionals

Licensure

Architectural license required. California license preferred but not mandatory. Must have strong knowledge of building codes, ADA, and permitting processes.

Compensation

Pay between 170k and 200k, with flexibility depending on experience. Discretionary bonus structure. Limited travel required.

Interview Process

Initial video interview

Second video interview with executive leadership

Two step process overall

Open date: July 30, 2025

Most recent review date: Thursday, Aug 14, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Thursday, Jul 30, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Herbert Wertheim School of Optometry and Vision Science at the University of California, Berkeley invites applications for a pool of qualified health science clinical faculty members at the Clinical Instructor, Assistant, Associate, or Full Clinical Professor level to teach in the School of Optometry and Vision Science and/or Berkeley Optometry partner off-campus clinics, should an opening arise. The number of positions varies from semester to semester, depending on the needs of the department. The pool will remain in place for one calendar year; those interested in remaining in the pool beyond that time must reapply.

The responsibilities of the health science clinical faculty members include teaching optometric student clinicians in the patient care environment, performing direct patient care when student clinicians are unavailable both on or off the UC Berkeley campus, and/or teaching optometric student clinicians the basics of eye examinations sequence in the pre-clinical environment. They may also perform service to the school and community through education or various outreach programs on or off the UC Berkeley campus.

Appointees will be eligible for advancement through the ranks of the Health Sciences Clinical Professor series, based on performance in teaching, professional activity, scholarly and creative activity, and service.

The Herbert Wertheim School of Optometry and Vision Science has excellent clinical facilities and a large, diverse patient population. Over 70,000 patient visits are seen annually within our on campus clinic. About 65 optometry students are graduated annually. The Department is committed to addressing the family needs of faculty, including dual career couples and single parents.

UC Berkeley has an excellent benefits package as well as a number of policies and programs to support employees as they balance work and family.

Department:

At the time of application candidates must have an OD, MD, DDS, DO, NP, or equivalent clinical degree from an accredited institution (or equivalent international degree).

Candidates must be licensed in the State of California by their respective governing board by the start date and maintain active licensure throughout their term of employment. To be eligible to work, clinic employees must comply with all UC Berkeley Optometry Clinic annual immunization and medical screening requirements, trainings, and University and School policies.

Residency training and Clinical teaching experience are preferred but not required. We seek candidates whose experience, teaching, or community service has prepared them to work collaboratively in a diverse environment and adhere to University policies and procedures.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Statement of Education & Teaching Experience

  
  

• Cover Letter (Optional)

  
  

• 3-5 required (contact information only)

Candidates should provide the contact information for at least three, but not more than five references at the time of application. Letters of reference will only be solicited for finalists.

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Title: Azure Solution Architect

Location: Remote

Key Responsibilities

1. Architectural Leadership & Strategy

• Define the End-to-End Architecture for massive digital transformation projects, moving from legacy on-premise environments to modern cloud-native designs.
• Lead Greenfield projects, building secure and scalable \"Landing Zones\" from the ground up.
• Act as a Trusted Advisor to C-suite stakeholders and lead cross-functional discussions between security, networking, and application teams.

2. Multi-Cloud & Identity Governance

• Architect solutions that span Microsoft 365, Azure, and AWS seamlessly.
• Design complex Identity & Access Management (IAM) frameworks, specifically integrating HR Systems (e.g., Workday, SAP) with cloud identity providers like Microsoft Entra ID.
• Enforce Zero Trust security principles across all cloud and hybrid environments.

3. Hands-on Execution & DevOps

• Stay \"in the weeds\" by reviewing and occasionally writing Infrastructure as Code (IaC) using Terraform, Bicep, or CloudFormation.
• Oversee the migration of monolithic applications into Microservices and containerized environments (AKS, EKS, Docker).
• Implement and govern CI/CD pipelines (Azure DevOps/GitHub) to ensure automated, repeatable deployments.

Role: Principal AI Solution Architect

Location: Houston, TX, 77086 - Onsite

Duration: Long term Contract

Job Description:

Key Responsibilities:

• Partner with business and technical stakeholders to identify and implement agentic AI and machine learning solutions that improve decision making, workflows, and automation
• Design and implement cloud native AI architectures using Microsoft Azure services and established AI design patterns
• Collaborate with Data Scientists and other AI Engineers to transform prototypes into production ready, scalable solutions
• Build, deploy, and operate enterprise scale machine learning pipelines, emphasizing reliability, performance, and security
• Orchestrate and configure infrastructure that enables low latency, resilient AI workloads, leveraging infrastructure as code and automation
• Contribute to reusable accelerators, templates, and patterns that improve delivery speed and consistency across teams
• Support CI/CD, monitoring, and operational practices for AI and ML systems in production environments

Required Technical Skills:

• Strong experience with Microsoft Azure, including AI/ML services and cloud native architectures
• Hands on experience deploying and operating ML pipelines using Azure Machine Learning
• Proficiency in Python and modern software engineering practices
• Experience with automation and configuration management, including Ansible
• Solid understanding of MLOps, model lifecycle management, and CI/CD for AI systems
• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
• Working knowledge of security, identity, and access control in enterprise cloud environments

Preferred Skills:

• Experience with Microsoft Foundry
• Experience implementing or operating agentic AI systems
• Familiarity with data engineering tools such as Databricks, Spark, Azure Data Factory
• Experience integrating AI services (e.g., cognitive services, computer vision, unstructured data processing)

Experience Requirements:

• 5+ years of experience in software engineering, AI engineering, or machine learning engineering roles
• Proven experience delivering production AI or ML solutions in a cloud environment
• Experience collaborating with cross functional teams across data science, engineering, and architecture

Ways of Working:

• Ability to work independently as a contractor while integrating effectively with existing teams
• Strong communication skills, with the ability to explain complex technical concepts clearly
• Results oriented mindset with a focus on delivering business value quickly and reliably.